The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
MagPIe: MPI's collective communication operations for clustered wide area systems
Proceedings of the seventh ACM SIGPLAN symposium on Principles and practice of parallel programming
Future Generation Computer Systems
The distributed ASCI Supercomputer project
ACM SIGOPS Operating Systems Review
Theory and Practice in Parallel Job Scheduling
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
Job Scheduling Scheme for Pure Space Sharing Among Rigid Jobs
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
The Influence of Communication on the Performance of Co-allocation
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
Resource Co-Allocation in Computational Grids
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
On Advantages of Grid Computing for Parallel Job Scheduling
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Optimizing Parallel Applications for Wide-Area Clusters
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
Multisite co-allocation algorithms for computational grid
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
QoS and preemption aware scheduling in federated and virtualized Grid computing environments
Journal of Parallel and Distributed Computing
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In systems consisting of multiple clusters of processorswhich employ space sharing for scheduling jobs,such as our Distributed ASCI1 Supercomputer (DAS), co-allocation,i.e., the simultaneous allocation of processors tosingle jobs in multiple clusters, may be required. In orderto handle both single-cluster (local) jobs and multi-cluster(global) jobs, such systems may have only local schedulers(which then need to be aware of the whole system), or onlya single global scheduler, or both, and each scheduler hasits own queue. In this paper we assess with simulationsthe response times of both local and global jobs in multi-clustersystems for different configurations of queues, fordifferent priority orders in which the associated schedulersare allowed to schedule jobs, and for different job-streamcompositions.